The paper presents a study on thermal behaviour of geopolymer concrete, also the effect of core temperature with applied heat on surfaces which influences the phase polymerization. Geopolymer concrete is made with source material fly ash and alkaline activator made of Sodium Silicate with Sodium hydroxide solution made of 12 molar concentration. Ingredients are mixed thoroughly and cast into cube of size 150mm x 150mm x 150 mm. Two methods of curing were adopted; ambient and steam curing. Both the temperature based specimens were compared in thermal aspect. Density of the specimens were calculated in reference to calories. Percentage of weight attained at regular intervals are observed. Cubes were kept in steam accelerated chamber at the temperatue of 80 ͦC and the rest were kept at ambient curing. The variations in their internal temperature with respect to time was recorded. It was observed that the weight of the specimen increases as the time increases.
- Page(s): 01-06
- Date of Publication: 18 December 2018
- K. MythiliPG Student, Government College of Engineering, Salem, Tamil Nadu, India
- C. G. DeepanrajAssistant Professor, Government College of Engineering, Salem, Tamil Nadu, India
- Dr. V. RajkumarAssociate Professor, Government College of Engineering, Salem, Tamil Nadu, India
References
[1]. Chithra S, et.al, June 2014 “Effect of hot water curing and hot air oven curing on admixed concrete”, International Journal of ChemTech Research [2]. Girawale .M. S, August, 2015 “Effect’s of alkaline solution on geopolymer concrete” International Journal of Engineering Research and General Science [3]. Hardjito .D, et.al,May 2014 “Brief review on the development of geopolymer concrete”,Invited Paper, George Hoff Symposium, American Concrete Institute [4]. James aldred, et.al, August 2012 “Is geopolymer concrete a suitable alternative to traditional concrete?” 37th Conference on Our World in Concrete & Structures [5]. Joshi .S. V, et.al, October 2012 “Role of alkaline activator in development of eco-friendly fly ash based geo polymer concrete”, International Journal of Environmental Science and Development [6]. Kolli.Ramujee,August 2013 “Strength properties of polypropylene fiber reinforced concrete” International Journal of Innovative Research in Science Engineering and Technology [7]. Kumaravel. S, April 2014 “Development of various curing effect of nominal strength Geopolymer concrete”, Jestr Journal of Engineering Science and Technology [8]. Manoj Kumar Rajak, et.al, “A systematic review on polypropylene fiber reinforced geopolymer concrete”International Journal of Advanced Research in Engineering and Applied Science [9]. Patil S. S, et.al,August 2015 “Properties of Polypropylene Fiber Reinforced Geopolymer Concrete” International Journal of Current Engineering and Technology [10]. Vijai .K, et.al,August 2010“Effect of types of curing on strength of geopolymer concrete”, International Journal of the Physical Sciences
K. Mythili, C. G. Deepanraj, Dr. V. Rajkumar "Calorific Studies and Its Influene on Alkali Activated Fly Ash Based Concrete Composites" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 12, December 2018, pp.01-06 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue12/01-06.pdf
India being the second largest growing economy country in the world, in part with other developed activities, road infrastructure is developing at a very fast rate. The spurt in the growth of traffic and overloading of vehicles decreases the life span of roads laid with conventional bituminous mixes. This also leads to the reduction in the riding quality resulting in exorbitant vehicle operating cost and frequently maintenance interventions due to premature failure of pavements. As India is a tropical country so a layer to resist the temperature changes must be designed. Thus, research has to make to improve the surface layer characteristics to attain durable pavements. The lifespan has an inverse relationship over vehicle loadings. Thus, we engineers need to implement a cost-effective alternate for the positive effect on the maintenance aspect and resistance to distresses induced in the pavements; one of mixture which fulfills these criteria is SMA. In the present study the performance of Stone Matrix Asphalt (SMA), with the usage of Carbon fiber and Glass fiber under the influence of change in nominal maximum aggregate sizes based on Indian specifications has investigated .Comparison of drain down results at varying finer contents with 7% bitumen at 1600C and 1700C temperature and comparison of stability, flow and volumetric properties of SMA mixes, VG30, Carbon fiber and Glass fiber by using Marshall Methods has done.
- Page(s): 07-17
- Date of Publication: 21 December 2018
- Itrajula AdinarayanaPG Student, Civil Engineering & Sanketika Institute of Technology and Management, Andhra Pradesh, India
- Dr. NC AnilAssociate Professor, Civil Engineering & Sanketika Institute of Technology and Management, Andhra Pradesh, India
- P Sanyasi NaiduAssistant Professor, Civil Engineering & Sanketika Institute of Technology and Management, Andhra Pradesh, India
- M Udaya SriAssistant Professor, Civil Engineering & Sanketika Institute of Technology and Management, Andhra Pradesh, India
References
[1]. Kietzman, J.H. (1960). "The effect of Short Asbestos fibers on basic physical properties of Asphalt pavement mixes." Highway Research Board,270, 1-19 [2]. Bushing, H.W., Antrim, J.D. (1968). "Fiber reinforcement of bituminous mixtures." Association of Asphalt Paving Technologists, 37, 629-659. [3]. Brown, E.R. (1992). "Experience with Stone matrix asphalt in the United States." National Ashalt Pavement Association (NCAT) , Auburn University, Albama. [4]. Brown, E.R., Manglorkar, H. (1993). "Evaluation of Laboratory properties of SMA mixtures." NCAT Report 93-05,National Centre for Asphalt Technology,USA. [5]. Haddock, J.E., Lilijedahl, B., Kriech, A.J. (1993). "Stone Matrix Asphalt: Application of European Design Concepts in North America." Canadian Technical Asphalt Association, Fredricton, NB, Canada,183-209 [6]. Brown, E.R., Mallick, R.B. (1994). "Stone matrix asphalt-Properties related to mixture design." National center for Asphalt technology,Auburn university,Auburn.AL,NCAT Report 94-2. [7]. Brown, E.R., Mallick, R.B. (1995). "Evaluation of stone-on-stone contact, in stone matrix asphalt." Transportation Research Board,1492, 208-219. [8]. Brown, E.R., Haddock, J.E. (1997). "A method to ensure stone-on-stone contact in stone matrix asphalt." National center for Asphalt technology,Auburn university,NCAT Report 97-2. [9]. Brown, E.R., Haddock, J.E., Mallick, R.B., Lynn, T.A. (1997). "Development of a mixture design procedure for stone matrix asphalt(SMA)." Report No.97-3. National Center for Asphalt Technology,NCAT, Alburn. [10]. Brown, E., & Cooley, L. (1999). "Designing Stone Matrix Asphalt mixtures for Rut resistant Pavements." NCHRP Report 425, National Cooperative Highway Research Program,Transportation research Board,Washington, D.C; USA.
Itrajula Adinarayana, Dr. NC Anil, P Sanyasi Naidu, M Udaya Sri "An Experimental Study on SMA Mixes by Using Carbon Fibre and Glass Fibre" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 12, December 2018, pp.07-17 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue12/07-17.pdf
This paper presents the application of machine learning for digital recognition of identical twins. The main aim here is to present a novel episteme that will differentiate two similar suspected faces of different identities using bag of features. The process includes face detection, extracting bag of features among other image processing techniques, training, classification and result prediction. Some existing bibliographies will be reviewed, analyzed and a new system will be proposed. This work will highly improve criminal forensic investigation, eliminate impersonation, and stop mistake identity arrest of suspect to mention a few among other importance and applications. The implementation and result will be demonstrated employing mathlab development tool.
- Page(s): 18-25
- Date of Publication: 22 December 2018
- Asogwa Tochukwu ChijinduComputer Science, Enugu State University of Science and Technology, Enugu, Nigeria
- Ituma ChinagolumComputer Science, Ebonyi State University Abakaliki, Nigeria
References
[1]. Erik Mannik, Terrorism; its past, present and future prospects [2]. Desouza. Facial component analysis and image processing for face detection. 46(2):235–245, May 2011. [3]. Chioma O. Implementation Of Daugman’s Algorithm And Adaptive Noise Filtering Technique For Digital Recognition Of Identical Twin Using Mathlab, 2018 [4]. V. Vijayan, K. Bowyer, P. Flynn, D. S Huang, L. Chen, M. Hansen, O. Ocegueda, S. Shah, and I. Kakadiaris. Twins 3D Face Recognition Challenge. In International Joint Conference on Biometrics, 2011. [5]. K. Kelly, design and implementation of face detection system , Volume 1, Issue 2, March-April, 1990, ISSN 091-273. [6]. H. Rowley, S. Baluja, and T. Kanade. Neural network-based face detection. In Proc. IEEE Conf. on Computer Visioin and Pattern Recognition, pages 203-207, San Francisco, CA, 1996 [7]. Kah-Kay Sung and TomasoPoggio. Example-based learning for view-based human face detection. A.I. Memo 1521, CBCL Paper 112, MIT, December 1994 [8]. B. Moghaddam and A. Pentland. Probabilistic visual learning for object representation. In S.K. Nayar and T. Poggio, editors, Early Visual Learning, pages 99--130. Oxford Univ. Press,1996. [9]. O. Jesorsky, K. J. Kirchberg, R.W. Frischholz. Robust Face Detection Using the Hausdorff Distance. In Proc. Third International Conference on Audio- and Video-based Biometric Person Authentication, Halmstad, Sweden, 2001 [10]. Vimal, VirenderKadyan, Implementation and Performance Analysis of Face Recognition Using MATLAB. IJCST Vol. 6, Issue 2, April - June 2015 ISSN : 0976-8491 (Online) | ISSN : 2229-4333. [11]. John Campbell, From Africa in Transition. Boko haram’s AbubakarShekau; Dead or Alive. July 26, 2017. [12]. Alison Gee. Twin DNA test: Why identical criminals may no longer be safe. 15 January 2014 [13]. https://www.bbc.com/news/magazine-25371014 [14]. Swati Y. Dhote, A. D. Gotmare, M. S. Nimbarte. Differentiating Identical Twins by Using Conditional Face Recognition Algorithms. (IJSR) ISSN (Online): 2319-7064 Index Copernicus Value (2013) [15]. Soma Biswas, Kevin W. Bowyer and Patrick J. Flynn. A Study of Face Recognition of Identical Twins byHumans [16]. Samal D. and Starovoitov V. “Approaches and methods to face recognition. A survey,” Instute of Engineering Cybernetics, 54 pages, 2014. [17]. Senthilsingh and Manikandan. Face recognition system using Adaboost algorithm. IEEE Transactions on Neural Networks, Volume: 16 , Issue: 2 , pp. 436 446, 2014 [18]. Mathworks documentation 2017a.
Asogwa Tochukwu Chijindu, Ituma Chinagolum "Machine Learning Based Digital Recognition of Identical Twins to Support Global Crime Investigation" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 12, December 2018, pp.18-25 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue12/18-25.pdf
Most of the industrial loads such as induction motors are inductive in nature and hence have low lagging power factor. Around 60% of the utility load consists of motors and hence the overall power factor of the power system is low. The low power factor is highly undesirable as it causes an increase in current, resulting in additional losses of active power in all the elements of power system from power station generator down to the utilization devices. This paper describes the power factor can be improved by connecting the synchronous motor operated in an overexcited mode in parallel with the industrial loads operating at lagging power factor. The designed industrial load is 8 TPH rice milling plant consists of unity power factor loads 250 kW (lighting loads and other loads) and induction motor loads 350 kW, efficiency 96 % at power factor 0.7 lagging. In this paper, the appropriate rating of synchronous motor is selected to compensate the reactive power and improve the power factor of rice milling plant from 0.7 lagging to the region within 0.95 laggings and unity.
- Page(s): 26-30
- Date of Publication: 24 December 2018
- Dr. Aung Zaw LattDepartment of Electrical Power Engineering, Technological University (Maubin), Maubin, Myanmar
References
[1] V.K. Mehta, Rohit Mehta, Principles of Power System, Revised Edition, S. Chand & Company Ltd., New Delhi, 2013. [2] B.R. Gupta, Vandana Singhal, Fundamentals of Electric machines, Revised Third Edition, New Age International (P) Limited, New Delhi, 2010. [3] B.L. Theraja, A.K. Theraja, AC & DC Machines, Volume II, S. Chand & Company Ltd., New Delhi, 2006. [4] P.C. Sen, Principles of Electric Machines and Power Electronic, Third Edition, John Wiley & Sons Inc, New York, 2013. [5] S.A. Nasar, Electric Machine & Electromechanics, Second Edition, McGraw-HILL, New York, 1998. [6] A.E. Fitzgerald, Jr. Charles Kingsley, Stephen D. Umans, Electric Machinery, Six Edition, McGraw-HILL, New York, 2003.
Dr. Aung Zaw Latt "Application of Synchronous Motor to Improve Power Factor for Industrial Loads" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 12, December 2018, pp.26-30 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue12/26-30.pdf
Deep neural networks (DNN) are an artificial neural network that imitates the working of the human brain in processing data and use it for decision-making. Nowadays, DNNs have achieved a great success in various image classification and recognition tasks. However, one of the main issues with deep neural networks is its huge computational cost and storage overhead, which constitute a serious challenge for small devices, exceeding the computing limit of those devices. During the past few years, tremendous progresses have been made in this area. In this paper we survey the recent advanced techniques for optimizing inference in DNNs through various techniques.
- Page(s): 31-33
- Date of Publication: 24 December 2018
- Kruthi P RU.G Students, Computer Science and Engineering Department, BMS College of Engineering, Bengaluru, Karnataka, India
- Kousar MullaU.G Students, Computer Science and Engineering Department, BMS College of Engineering, Bengaluru, Karnataka, India
- Madhabi ChoudhuryU.G Students, Computer Science and Engineering Department, BMS College of Engineering, Bengaluru, Karnataka, India
- Prof. Madhavi R PAssociate Professor, Computer Science and Engineering Department, BMS College of Engineering, Bengaluru, Karnataka, India
References
[1]. ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression, Jian- Hao Luo, Jiaxin Wu, Weiyao Lin, International Conference on Computer Vision [2]. A Survey of Model Compression and Acceleration for Deep Neural Networks, Yu Cheng, Duo Wang, Pan Zhou, Tao Zhang [3]. Learning both Weights and Connections for Efficient Neural Networks, Song Han, Jeff [4]. Structured Pruning of Deep Convolutional Neural Networks, Sajid Anwar, Kyuyeon [5]. Dynamic Network Surgery for Efficient DNNs, Yiwen Guo, Anbang Yao, Yurong Chen, Neural Information Processing Systems, 2015 [6]. XNOR-Net: Imagenet Classification Using Binary Convolution Neural Networks, Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, and Ali Farhadi, European Conference on Computer Vision, 2016 [7]. Compression of Convolutional Neural Networks, Ratko Pilipovic, Patricio Bulic, Vladimir Rissojevic [8]. Channel Pruning for Accelerating Very Deep Neural Networks, Yihui He, Xiangyu Zhang, Sun, International Conference on Computer Vision 2017 [9]. Pruning Filters for Efficient ConvNets, Hao Li, AsimKadav, Igor Durdanovic, Hanan Samet, Hans Peter Graf, International [10]. Conference on Learning Representations, 2017, [11]. http://developer.nvidia.com [12]. https://en.wikipedia.org/wiki/Dropout_(neural_networks) [13]. https://jacobgil.github.io/deeplearning/pruning-deep-learning
Kruthi P R, Kousar Mulla, Madhabi Choudhury, Prof. Madhavi R P, "Survey Paper on Optimizing Inference in Deep Neural Networks" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 12, December 2018, pp.31-33 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue12/31-33.pdf
Internet of things (IoT) is becoming an integral part of our daily lives with more data being generated about our daily activities both humans and things than ever before. If we look at the data as the raw materials of our digital age, it is easy to see why the organization, government and industries value it highly than other areas of application. Data sharing needs to be voluntary with the individual agents having a thorough understanding of what is being shared with whom and for what purpose. It follows naturally that protection of these data is very crucial as data collected with a good intent can cause harm if it gets to the wrong hands. The paper presents the protocol architecture, the technologies and applications of IoT in different areas, the security challenges in internet of things (IoT), the vulnerabilities and proffer appropriate measure to counter the security threats and attack.
- Page(s): 34-41
- Date of Publication: 29 December 2018
- Ugwuabonyi E.C Computer Science Department, Enugu State University of Science and Technology (ESUT) Nigeria
- Orji E.Z Computer Engineering Department, Enugu State University of Science and Technology (ESUT) Nigeria
References
[1]. (n.d.). Retrieved from https://downloads.cloudsecurityalliance.org/whitepapers/Security_Guidance_for_E [2]. Bassi, A., & Horn, G. (2008). Internet of Things in 2020: A Roadmap for the Future. Information Society and Media, European Commission. [3]. Blackert, W., Gregg, D. M., Castner, A. K., Kyle, E., Hom, R., & Jokerst, R. (2003). Analyzing interaction between distributed denial of service attacks and mitigation technologies. Proc. DARPA Information Survivability Conference and Exposition. [4]. Clearfield, C. (2014). Why the FTC can’t regulate the Internet of Things. Retrieved from http://www.forbes.com/sites/chrisclearfield/2013/09/18/why-the-ftc-cant-regulate-the-internet-of-things/. [5]. D.K, A. S. (2017). Internet of Things (IoT): A Literaturer Review. International journal of Research in Advent Technology (IJRAT). [6]. Garcia-Morchon, O., Kumar, S., Keoh, S., Hummen, R., & Struik, R. (2014). Security considerationsin the IP-based Internet of Things. draft-garcia-core-security-06. CoRE: Internet Draft. [7]. Gigli, M. a. (2011). Internet of Things, Services and Applications Categorization. Advances in Internet of things: Scientific Researcg. [8]. Greenberg, A. (2007). Americas Hackable Backbone . Retrieved from Forbes. [9]. Hu, F. (2016). Security and Privacy in Internet of Things (IoTs): Models, Algorithms and Implementations. In N. Jeyanthi, Internet of Things (IoT) as interconnection of threats (IoT). CRC Press, Taylor and Francis group. [10]. Lewis, F. (2004). Wireless sensor network. [11]. Mattern, F., & Floerkemeier, C. (2010). From the Internet of Computer to the Internet of Things. Springer. [12]. Menezes, A. J., Oorschot, P., & Vanstone, S. (1996). A handbook of applied cryptography. [13]. Misra, S. M., & Hashmi, S. (2017). Security Challenges and Approaches in Internet of Things. Springer Briefs in Electrical and Computer engineering. [14]. Nunberg, G. (2012). The advent of the Internet: 12th April courses. International Journal of Innovation and Research in Technology. [15]. Ojha, D. (2012). SECURITY PROBLEMS AND VARIOUS SECURITY: SCHEMES IN WIRELESS SENSOR NETWORKS. International Journal of Research in Science And Technology. [16]. Perera, C., Zaslavsky, A., Christen, P., & Georgakopoulos, D. (2013). Context Aware Computing for The Internet of Things: A Survey. IEEE Communications Surveys & Tutorials. [17]. Roman, R., Najera, P., & Lopez, J. (2011). Securing the Internet of Things. IEEE Computer. [18]. Saxena, M. (2007). SECURITY IN WIRELESS SENSOR NETWORKS - A LAYER BASED CLASSIFICATION. Purdue University, West Lafayette: Center for Education and Research in Information Assurance and Security. [19]. Sen, J. (2009). A Survey of Wireless Sensor Network Security. International Journal of Computer Networks and Information Security. [20]. Somayya, M., Ramaswamy, R., & SiddharthTripathi. (2015). Internet of Things (IoT): A Literature. Journal of Computer and Communications. [21]. Steinberg, J. (2014, Jan 27). Steinberg, J.: These devices may be spying on you (Even In Your Own Home) (2014). Retrieved from https://www.forbes.com/sites/josephsteinberg/2014/01/27/these-devices-may-be-spying-on-you-even-in-your-own-home/#13e4c615b859. [22]. Sundmaeker, H., Guillemin, P., Friess, P., & Woelfflé, S. (2010). Vision and challenges for realising the Internet of Things. EUR-OP.
Ugwuabonyi E.C1 and Orji E.Z2 "Issues and Challenges in Security and Privacy of Internet of Things (IOT)" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 12, December 2018, pp.34-41 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue12/34-41.pdf
To reduce the human efforts and for the efficient way to do the work and for the safety purpose this multiple purpose robot is used. Even if machines are used, a single machine cannot be used to accomplish a range of operations. Multiple machines inherit problems of synchronization and hence lead to enhanced maintenance costs. This robot can move all around the industry to inspect the work in ‘Industry-like’ environment and carry out multiple operations like temperature sensing, pressure sensing, smoke-alarming, video transmission etc. seems to be a perfect solution to address the above problem. Implementation of such a robot has been made possible by controlling the wheels of the robot through a computer interface. Sensors on the robot can be customized based on the application. The usefulness and applications of such a robot in industries is found in different fields of interest such as remote sensing, alarm generation, security industrial inspection, and surveillance. Hence this robot, with many utility functions, is truly a ‘Multi-Purpose Robot for Industrial Inspection and Surveillance’.
- Page(s): 42-44
- Date of Publication: 30 December 2018
- Hamsa Rekha S DAssistant Professor, Department of Electronic & Instrumentation Engineering, Dr.Ambedkar Institute of Technology, Bangalore, Karnataka, India
- Sheetal NAssistant Professor, Department of Electronic & Instrumentation Engineering, Dr.Ambedkar Institute of Technology, Bangalore, Karnataka, India
- Seema B.SAssistant Professor, Department of Electronic & Instrumentation Engineering, Dr.Ambedkar Institute of Technology, Bangalore, Karnataka, India
References
[1]. Ata, A.A. and H. Johar, 2004. Dynamic force/motion simulation of a rigid-flexible manipulator during task constrained. Proceedings of the IEEE International Conference on Mechatronics, June 3-5, IEEE Xplore Press, USA.,pp: 268-273. DOI: 10.1109/ICMECH.2004.1364450 . [2]. Auzinsh, J. and P. Sliede, 1995. Methods and Software Engineering Tools for Simulation of Robot Dynamics. Automation and Robotics in Construction. Warsaw, Poland, ISBN: 83-86040-02-05, pp: 321-328. [3]. Chitta, S., P. Cheng, E. Frazzoli and V. Kumar, 2005. RoboTrikke: A novel undulatory locomotion System. Proceedings IEEE International Conference on Robotics and Automation, Apr. 18-22, IEEE Xplore Press, USA.,pp: 1597-1602. http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1570342 [4]. Ellis, R.E. and S.L. Ricker, 1994. Two numerical issues in simulating constrained robot dynamics. IEEE. Trans. Syst. Man Cybernet., 24: 19-24. DOI: 10.1109/21.259682 [5]. Featherstone, R. and D. Orin, 2000. Robot dynamics: Equations and algorithms. Proceeding of IEEE International Conference on Robotics and Automation, Apr. 24-28, IEEE Xplore Press, San Francisco, CA.,pp: 826-834. DOI: 10.1109/ROBOT.2000.844153 [6]. Ho, Y.K., Wang and Y.C. Soh, 2000. Modeling of constrained robot system with constraint uncertainties. J. Robot. Syst., 17: 53
Hamsa Rekha S D, Sheetal N, Seema B.S "Multiple Purpose Robot for Inspection in Industries" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 12, December 2018, pp.42-44 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue12/42-44.pdf
I. INTRODUCTION Everyone is interested in proving that a particular picture is taken by his/her camera, in order to claim the property. Moreover, In general a picture was taken by particular camera, but it is very important element for decisions in court and It cannot rely on Meta data (EXIF tags) which can be easily manipulated. It is noted that in 2015 more than 1.8 billion images published on the internet each day [12], and this trend is going more and more each day. Source Identification majorly relying on the Photo Response Non-Uniformity (PRNU) pattern, it is stable in time, it is originated by the inevasible imperfections occuring during the sensor manufacturing process. Since each picture is taken by particular camera has traces of PRNU Pattern, It can be credible and plausible identification, Image Falsification detection and also improving recognition algorithms.
- Page(s): 45-50
- Date of Publication: 30 December 2018
- Kinjal N. PatelG. H. Patel College of Engineering & Technology, Anand, Gujarat, India
References
[1] Mehdi Kharrazi ’, Husrev T Sencur ’, Nasir Memon ’,” BLIND SOURCE CAMERA IDENTIFICATION”, IEEE,0-7803-8554-3/04/$20.00,2004 [2] J. Adams, K. Parulski, and K. Spaulding, “Color processing in digital cameras,” Micm, IEEE, vol. 18, pp.20-30, Nov.-Dec 1998. [3] Z. Deng, A. Gijsenij, and J. Zhang, “Source camera identification using auto-white balance approximation,” in Proc. 13th IEEE Int. Conf.Comput. Vis., Barcelona, Spain, Nov. 2011, pp. 57–64. [4] Amerini I, Becarelli R, Bertini B, Caldelli R (2015) Acquisition source identification through a blind image classification. IET Image Process 9(4):329–337 [5] Avcibas¸ I, Memon N, Sankur B (2003) Steganalysis using image quality metrics. IEEE Trans Image Process 12(2):221–229. [6] Bayram S, Sencar H, Memon N (2006) Improvements on source camera-model identification based on CFA. In: Advances in Digital Forensics II, IFIP international conference on digital Forensics, pp 289–299. [7] Z. Deng, A. Gijsenij, and J. Zhang, “Source camera identification using auto-white balance approximation,” in Proc. 13th IEEE Int. Conf.Comput. Vis., Barcelona, Spain, Nov. 2011, pp. 57–64. [8] Camera & Imaging Products Association, Exchangeable Image File Format for Digital Still Cameras: Exif Version 2.3, CIPA DC-008-2010 & JEITA CP-3451B Standard, 2010. [9] I. J. Cox, M. L. Miller, and J. A. Bloom, Digital Watermarking. San Francisco, CA, USA: Morgan Kaufmann, 2002. [10] Camera & Imaging Products Association, Exchangeable Image File Format for Digital Still Cameras: Exif Version 2.3, CIPA DC-008-2010 & JEITA CP-3451B Standard, 2010 [11] G. Xu and Y. Q. Shi, “Camera model identification using local binary patterns,” in International Conference on Multimedia and Expo (ICME), 2012 IEEE. 2012, pp. 392–397 [12] M. Chen, J. Fridrich, M. Goljan, and J. Lukas, “Determining Image Origin and Integrity Using Sensor Noise,” Information Forensics and Security, IEEE Transactions on, vol. 3, pp. 74-90, 2008 [13] A. E. Dirik, H. T. Sencar, and N. Memon, “Digital Single Lens Reflex Camera Identification From Traces of Sensor Dust,” Information Forensics and Security, IEEE Transactions on, vol. 3, pp. 539-552, 2008. [14] S. Bayram, H. Sencar, N. Memon, and I. Avcibas, “Source camera identification based on CFA interpolation,” in Image Processing, 2005. ICIP 2005. IEEE International Conference on, 2005, pp. III-69-72. [15] Y. Long and Y. Huang, “Image Based Source Camera Identification using Demosaicking,” in Multimedia Signal Processing, 2006 IEEE 8th Workshop on, 2006, pp. 419-424. [16] A. Swaminathan, W. Min, and K. J. R. Liu, “Nonintrusive component forensics of visual sensors using output images,” Information Forensics and Security, IEEE Transactions on, vol. 2, pp. 91-106, 2007. [17] F. Marra, D. Gragnaniello, L. Verdoliva, On the vulnerability of deep learning to adversarial attacks for camera model identification, Signal Processing: ImageCommunication (2018), https://doi.org/10.1016/j.image.2018.04.007. [18] Z. Deng, A. Gijsenij, and J. Zhang, “Source camera identification using auto-white balance approximation,” in Proc. 13th IEEE Int. Conf.Comput. Vis., Barcelona, Spain, Nov. 2011, pp. 57–64. [19] Camera & Imaging Products Association, Exchangeable Image File Format for Digital Still Cameras: Exif Version 2.3, CIPA DC-008-2010 & JEITA CP-3451B Standard, 2010. [20] E. Kee, M. K. Johnson, and H. Farid, “Digital Image Authentication from JPEG Headers,” Information Forensics and Security, IEEE Transactions on, vol. 6, pp. 1066-1075, 2011. [21] M. C. Stamm and K. J. R. Liu, “Forensic detection of image manipulation using statistical intrinsic fingerprints,” IEEE Trans. Inf. Forensics Security, vol. 5, no. 3, pp. 492–506, Sep. 2010. [22] G. Xu, S. Gao, Y. Q. Shi, R. Hu, and W. Su, “Camera-Model Identification Using Markovian Transition Probability Matrix,” in Digital Watermarking. vol. 5703, ed: Springer Berlin / Heidelberg, 2009, pp. 294-307. [23] T. Gloe, K. Borowka, and A. Winkler, “Feature-Based Camera Model Identification Works in Practice,” in Information Hiding. vol. 5806, ed: Springer Berlin /Heidelberg, 2009, pp. 262-276. [24] M. J. Weinberger, G. Seroussi, and G. Sapiro, “LOCO-I: a low complexity, context-based, lossless image compression algorithm,” in Data Compression Conference. [25] R. Lienhart and J. Maydt. An extended set of haar-like features for rapid object detection. Proc. of ICIP, 1:900:903, 2002. [26] A. Hadid, M. Pietikainen and T. Ahonen. A Discriminative Feature Space for Detecting and Recognizing Faces. Proc of CVPR 2004.
Kinjal N. Patel "Camera Model Identification" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 12, December 2018, pp.45-50 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue12/45-50.pdf
The study assessed the correlation between the tensile strength and hardness of each of steel and aluminum alternative ship hull construction materials in use in ship building in Nigeria shipyards. It also compared the hardness’sof aluminum and steel as well as their tensile strengths.Since the mode, frequency and nature of failure of ship hulls has relationship with the tensile strength and hardness of its material of construction which among other things influences the demand for ships of differing hull material types; determining the nature of relationship between the tensile strength and hardness of specific hull material types will provide knowledge on how best either of the hull material properties may be improved without compromising the other in the drive to build stronger, more reliable and durable ships in local ship yards. The experimental and case study research design methods were employed in which the hydraulic powered universal tensile test equipment was used to determine the tensile strengths of specimens of steel and aluminum ship hull materials obtained from West Atlantic Ship yard, Starz Ship Yard and the West African Ship Yard sampled from the Port-Harcourt ship building cluster in Rivers state Nigeria. The hand held hardness testing equipment and the Rockwell hardness test method were used to determine the hardness’s of steel and aluminum hull material specimens collected.To limit error, each test type was carried out four times on each hull materials type from each ship yard and readings were taking from which the averages were determined for purposes of analysis and findings. The statistical correlations methods of spearman’s rank correlation and Pearson’s correlation were used to measure the nature of correlation between the hardness and tensile strength of each ship hull material type. The independent sample t-test was used to compare the tensile strengths and hardness’s of each of steel and aluminum hull material in use in the ship yards. It was found that a perfect strong positive correlation exist between the hardness and tensile strength of both steel and aluminum ship hull material types indicating that the hardness of each material increases as the tensile strength increases. The comparison of the tensile strengths and hardness’s of steel and aluminum materials in use for ship hulls in Nigeria each showed a significant difference in favour of the steel hull. Recommendations were proffered based on the findings of the study.
- Page(s): 51-58
- Date of Publication: 30 December 2018
- Nwokedi, Theophilus C. Department of Maritime Technology, Federal University of Technology, Owerri, Nigeria
- Ndikom Obed C. Department of Maritime Technology, Federal University of Technology, Owerri, Nigeria
- Gbasibo Lawrence Addah Department of Maritime Technology, Federal University of Technology, Owerri, Nigeria
- Odumodu Chigozie Uzoma Graduate School, University of Strathclyde, 16 Richmond Street Glasgow G1 1XQ, UK
- Ezewusi Kingsley Department of Maritime Technology, Federal University of Technology, Owerri, Nigeria
- Olusegu Sodiq Buhari
References
[1]. Attainable Adventure crusing (AAC, 2013) Optimizing Ship hull material strengths. Available at: http/www.Aac.org.eu/. Retrieved 31/05/2018. [2]. Aevelina R. and Karim M.(2015) Green Shipbuilding and Recycling: Issues and Challenges. International Journal of Environmental Science and Development, Vol. 6, No. 11, November 2015. [3]. Abdul M. M., and Khalid S. (2012) Comparison Of Aluminum Alloy And Steel Materials As Deckhouses For Offshore Support Vessels. Available at: http/www.researchgate.org. Retrieved 23/07/18. [4]. Allen R, L. ed., (2006) Principles of Naval Architecture: Volume I - Stability and Strength, ISBN 0-939773-00-7. [5]. Da-wei, G. and Gui-jie, S. (2018) Reliability of Hull Girder Ultimate Strength of Steel Ships. Paper presentation at the 4th International Conference on Advanced Engineering and Technology; IOP Conference Series: Materials Science and Engineering. doi:10.1088/1757-899X/317/1/012036. Retrieved 31/05/2018 [6]. Green M., Miroslav B., Ján D. and Stasys S. (2017) Strength Analysis of a Steel Structure of Weights Boxes by Means of Simulation Computations. LOGI – Scientific Journal on Transport and Logistics Vol. (8)1 20 -127, DOI: 10.1515/logi-2017-0002. [7]. Hirdaris, S.E.; Bai, W.; Dessi, D.; Ergin, A.; Gu, X.; Hermundstad, O.A.; Huijsmans, R.; Iijima, K.; Nielsen, U.D.; Parunov, J.; Fonseca, N.; Papanikolaou, A.; Argyriadis, K.; Incecik, A. (2014) Loads for use in the design of ships and offshore structures. Ocean Engineering. 78: 131–174. doi:10.1016/j.oceaneng.2013.09.012. [8]. Hito B., Philip A. W. (2013) Study Of Different Types Of Materials For Use In Passenger Vessels For The Amazon Region. CongresoInternacional IDS2013 – Amazonía 17 – 19 de Julio de 2013, Iquitos, Perú. [9]. Iqbal, K.S., Golam Z. N.M. andHossain A. K. (2010) Identifying and Analyzing Underlying Problems Of Shipbuilding Industries In Bangladesh. Journal of Mechanical Engineering, Vol. ME 41, No. 2, December 2010 Transaction of the Mech. Eng. Div., The Institution of Engineers, Bangladesh. [10]. Preben T. P. (2015) Marine Structures: Future Trends and the Role of Universities. Journal of Engineering 2015, 1(1): 131–138 DOI 10.15302/J-ENG-2015004. [11]. Pavila E.J. and Tyne C.J.V. (2008) Correlation of Yield Strength and Tensile Strength with Hardness for Steels. Journal of Materials Engineering and Performance, Volume 17, Number 6 / December 2008 [12]. Serden G. (2005) Comparative Analysis Of Materials In Recreational Boat Design: Fiber Reinforced Plastic Boat In Serial Production. A Thesis Submitted to the Graduate School of Engineering and Sciences zmir Institute of Technology in Partial Fulfillment of the Requirements for the Degree of MASTER OF SCIENCE. [13]. Wrenderberg, F., Larson T., S.(2009) Theory of Plates and Shells, 1959, ISBN 0-07-064779-8. [14]. Wikipedia free encyclopedia (2018) Rockwell hardness tester classifications based on Rockwell scales. Available at: http//www.wikipedia.com. Retrieved 24/08/2018
Nwokedi, Theophilus C., Ndikom Obed C., Gbasibo Lawrence Addah, Odumodu Chigozie Uzoma, Ezewusi Kingsley, Olusegu Sodiq Buhari "Measuring the Correlation between the Tensile Strength and Hardness of Steel and Aluminum as Alternative Ship Hull Construction Materials in Local Ship Yards in Nigeria" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 12, December 2018, pp.51-58 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue12/51-58.pdf
Power distribution problems such as outage and load losses have significant effects on sub stations. The perennial problem of electric power outage in Nigeria has adversely affected every sector of the nation economy and efforts must be made to fathom the technicalities associated with these outages and load losses. Spectral clustering is a popular data mining paradigm that is currently considered both as an effective practical tool for data analysis and also an active area of research. This study seeks to apply eigenvalue approach to determine the effects of each injection work station on Oshogbo transmission station. The process of obtaining eigenvalues and eigenvectors from power outages and loadlosses data made the eigenvector to appear like a dashboard where various interpretations were made.Our results show that Omuaran which is the nearest station to Oshogbo transmission centre with a distance of 3.7km has the highest eigenvalues (power outage=2.7054, load losses=3.1686) and appeared to be the hub of load losses and power outages in the region.
- Page(s): 59-64
- Date of Publication: 01 January 2019
- Adeleke T.BDepartment of Production Engineering, Faculty of Engineering, University of Benin, Benin City, Nigeria
- Igboanugo A.CDepartment of Production Engineering, Faculty of Engineering, University of Benin, Benin City, Nigeria
- Monye I.S Department of Production Engineering, Faculty of Engineering, University of Benin, Benin City, Nigeria
References
[1]. Odior A. O, Oyawale, F.A and Ovuworie G.C, Some Operations of Electric Power Supply in Benin City Area of Nigeria; American Journal of Scientific and Industrial Research, Vol 2, No 1, 2010. [2]. Onohaebi S.O, ‘‘Power Outages in the Nigeria Transmission Grid’’, Research Journal of Applied Sciences, Vol. 4, Issue 1, 2009 [3]. Ukpong, I.I ‘The economic consequences of electrical power failure’’ The Nigerian Journal of Economic and Social Studies, Vol 15, No 1, 1973,53 -74 [4]. Pablo A.S , Electric Power Distribution 4th Edition, S.Chand& Co Ltd, New Delhi, India 2001. [5]. George E.O and Oseni J.E,. ‘‘The Relationship between Electricity Power and Unemployment Rates in Nigeria’’. Australian Journal of Business and Management Research, Vol.2, No. 2, 2012, pp10-19 [6]. Ado ahmed and Josiah M., Impact of Deficient Electricity Supply on the Operations of Small Scale Businesses in North East Nigeria, International Journal of Business and Economic Development, vol. 3, No.1, 2015. [7]. Oluwole Arobieke, Electrical Power Outage in Nigeria: History, Causes and Possible Solutions: Journal of Energy Technologies and Policy, Vol. 2, No. 6, 2012. [8]. Odior A.O. ‘‘Some Major Factors Affecting the Availability of Power Supply to Consumers in Benin City in Recent Times’’ The Nigerian Journal of Research and Production, Vol.7, No 2, 2005, Pp. 76-92. [9]. Musa D.A, The Economics of Electric Power Supply in Nigeria, 2007 http://www.Gamji.com/article 9000.htm. Retrieved on 14th November 2013. [10]. Sambo, A.S.,Electricity Generation and the Present Challenges in the Nigerian Power Sector, Energy Commission of Nigeria, 2010 [11]. Cole. A.O., ‘‘Restructuring the Electric Power Utility Industry in Nigeria’’. Proceeding 20th National Conference of the Nigerian Society of Engineers (Electrical Division), October 6-7,2004,pp. 1-6 [12]. Amadi H.N, ‘‘Impact of Power Outages on Developing Countries: Evidence from Rural Households in Niger Delta, Nigeria’’, Journal of Energy Technologies and Policy, Vol 5, No 3, 2015. [13]. Oleka E., Ndubisi S.N and Ijemaru G.K, ‘‘Electric Power Transmission Enhancement: A Case of Nigerian Electric Power Grid’’, American Journal of Electrical and Electronic Engineering, Vol.4, no 1, 2016
Adeleke T.B, Igboanugo A.C, Monye I.S "A Statistical Application of Eigenvalue Theoretic Approach to Power Distribution Problems" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 12, December 2018, pp.59-64 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue12/59-64.pdf
FRP composites are widely used in marine applications because of their good mechanical properties, resistance against weathering and higher resistance to atmospheric deterioration as compared to conventional metals. FRP composites can be prepared by variety of manufacturing techniques and hand layup process is the most economical technique among them. This study mainly focuses on the effect of aqueous environment like normal, distilled and sea water on tensile property of GFRP composites which consists epoxy of L-12 grade as matrix material reinforced with E-glass fibre manufactured by hand layup process. This experimental study focuses on the effect of silicon carbide particles of 400 mesh size. Also, tensile test was conducted on GFRP composite with and without filler material subjected to aqueous environment for 24 days.
- Page(s): 65-69
- Date of Publication: 02 January 2019
- Vijay R. B.Mechanical Engineering, Acharya Institute of Technology, Bangalore, India
- Shivdarshan BMechanical Engineering, Acharya Institute of Technology, Bangalore, India
References
[1]. SathishkumarT.P., SatheeshkumarS. and NaveenJ., (2014). Glass fiber-reinforced polymer composites- a review. Journal of Reinforced Plastics and Composites. [2]. PandianA., VairavanM., ThangaiahW.J. J., and UthayakumarM., (2014). Effect of Moisture Absorption Behavior on Mechanical Properties of Basalt Fibre Reinforced Polymer Matrix Composites. Journal of Composites. [3]. ShettarM., ChaudharyA., HussainZ., Kini U. A. and SharmaS., (2018). Hygrothermal Studies on GFRP Composites. India: MATEC Web of Conferences. [4]. Jiang X., Song J., QiangX., KolsteinH. and BijlaardF., (2016). Moisture Absorption/Desorption Effects on Flexural Property of Glass-Fiber-Reinforced Polyester Laminates: Three-Point Bending Test and Coupled Hygro-Mechanical Finite Element Analysis. Polymer. [5]. Bond D.A. and Smith P.A., (2006). Modeling the Transport of Low-Molecular-Weight Penetrants Within Polymer Matrix Composites. Applied mechanical reviews. [6]. Kootsookos, Mouritz A.P., (2004). Seawater durability of Glass and Carbon Polymer Composites. Composites Science and Technology.
Vijay R. B., Shivdarshan B "An Experimental Study on Tensile Property of Glass Fibre Reinforced SiCp Filled Epoxy Composite Materials Subjected To Moisture Absorption" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 12, December 2018, pp.65-69 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue12/65-69.pdf
A wide range of fabric groups were subjected to different treatments viz., heat setting, alkaline oxidation, alkaline hydrolysis etc., The fabrics were tested for KES.F data. Biplot clearly distinguished the group of fabrics (in clusters) based on their low stress mechanical properties. Complex data related to aesthetic and functional property can be well analysed by Biplot.
- Page(s):70-74
- Date of Publication: 02 January 2019
- J. Hayavadana Professor & Head, Department of Textile Technology, University College of Technology, Osmania University, Hyderabad-7. India
- Srinivasulu .K Dept. of Textile Technology, Department of Textile Technology ,University College of Technology, Osmania University, Hyderabad-7. India
References
References are not available.
J. Hayavadana, Srinivasulu .K "Application of a Multivariate Analysis (Biplot) Method to a Comparative Study of Fabric Characteristics" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 12, December 2018, pp.70-74 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue12/70-74.pdf
The level of development of countries is now measured by the amount of energy they consume. The more energy a country consumes, the more advanced it is called. The best example for this issue is the energy consumption of countries in the African continent and the energy consumption of the countries in the European continent. The energy consumption of the countries in the African continent remains very low, as well as the energy consumption of the countries in the European continent. The level of development country is parallel to the consumption amount of energy which they use. According to the countries on the continent of Europe, the energy of monocrystalline solar panel to be installed in Antalya / Turkey will be calculated by using the package program. In order to calculate this, monthly sunshine duration and monthly radiation values of Antalya province were taken from the meterology general directorate. How long a monocrystalline solar panel with these values is on a monthly basisenergy production is shown in tables.
- Page(s): 75-79
- Date of Publication: 04 January 2019
- Assist Prof Riyad ŞİHABBuilding Departman, Dazkırı Vocation Scholl, Afyon Kocatepe Unıversty, Turkey
- Prof. Yüksel OĞUZElectrical-Electronics Engineering, Faculty of Technology, Afyon Kocatepe Unıversty, Turkey
- Lec. Abdil KARAKANElectrical Departman, Dazkırı Vocation Scholl, Afyon Kocatepe Unıversty, Turkey
References
[1]. C. E. C. Nogueira, J. Bedin, R. K. Niedzialkoski, S. N. M. de Souzaand, “Performance Of Monocrystalline And Polycrystalline Solar Panels In A Water Pumping System In Brazil” Renewable and Sustainable Energy Reviews, Vol. 51, issue C, pages 1610-1616, 2015. [2]. A.K. Som, S.M. Al-Alawi, “Evaluation of efficiency and degradation of mono- and polycrystalline PV modules under outdoor conditions”Renewable Energy, Volume 2, Issue 1, Pages 85-91 [3]. Yavuz Bahadır KOCA, Ahmet YÖNETKEN, Yüksel OĞUZ, Tolga ÖZER, “Control Of The Energy Flow With Plc For Battery SupportedHybridGenerationSystemIn Case Of A SupplyingToLocalArea”, International Congress on Engineeringand Natural Sciences (ICENS 2015), Skopje, Macedonia [4]. Tolga Ozer, YukselOguz, Hasan Cimen, “Data LoggingCard DesignTo Control EnergyFlowInHybridEnergyGenerationSystemWith Using Proteus, ArduinoAndLabview Program”, ICOEST International Conference on EnvironmentalScienceandTechnology, 9-13 Sept 2015, Sarajevo [5]. P. N. Shukla, A. Khare, , “Performance Analysis of Monocrystalline, Polycrystalline and ThinFilm Type PV Module Technologies”International Journal on Emerging Technologies5(2): Pages 66-68, 2014. [6]. M. R.Abdelkader, A. Al-Salaymeh, Z. Al-Hamamre, and F.Sharaf “A Comparative Analysis Of The Performance Of MonocrystallineandMultiycrystalline PV Cells In Semi Arid Climate Conditions:TheCase Of Jordan”Jordan Journal Of Mechanical And Industrial Engineering,Volume 4 Number 5, Pages 543-552, 2010. [7]. A. Ghazali, A.M. Rahman, “The Performance Of Three Different Solar Panels For Solar Electricity Applying Solar Tracking Device Under The Malaysian Climate Condition”Energy And Environment Research, Volume 2 Number 1, Pages 235-243, 2012. [8]. R.B. Bergmann, C. Berge, T.J. Rinke, J, Schmidt, J.H. Werner,“Advances In Monocrystalline Si Thin Film Solar Cells By Layer Transfer”Solar Energy [9]. Şihab Riyad,Karakan Abdil (2016). The importance of saving energy and isolation in building. İnternational symposium on post-secondary vocational educational and training, [10]. Tolga Özer,YükselOğuz, Hasan Çimen,, “Energy Flow Control with Using Arduino Microcontroller in Off-Grid Hybrid Power Generation System Including Different Solar Panels and Fuel Cell”, November 2017, Measurement and Control -London- Institute of Measurement and Control- 50(9-10):186-198 [11]. Upadhyaya. A.,Yelundur. V.,Rohatg. A., "High Efficiency Mono-Crystalline Solar CellsWith Simple ManufacturableTechnology" Institute of Technology, 2006. [12]. Muntasser, M.A. , Bara, M.F.,Quadri , H.A., EL Tarabelsi, R. and La-azeb,, I.F., "Photovoltaics marketing İn DevelopingCountries", AppliedEnergy, Volume 65, Pages 67-72, 2000 [13]. Şihab Riyad,Karakan Abdil,Uslu Bahtiyar (2015). The Analysis of Pegormance The Production of Energy by Using Photovoltaic System by Establishing The Panel of Suncell in Different Locations to Get in Maximum Energy. Journal of Multidisciplinary Science and Technology, 2(11), 3313-3317. [14]. Tolga Özer, Yüksel Oğuz, “MonocrystallineAndPolycrystalline Solar Panels Comparision In Terms Of Generated Power At Hybrid Power Generation System”, IV. International Energy Technologies Conference, 15-16 December 2016, İstanbul [15]. Ozer T.,Gul T.,Oguz Y.,”Hydrogen Flow Control By Using Fuzzy Logic Controller Method For Fuel Cell PowerSystems”,International Conference on Technics, Technologies andEducationICTTE 2014 October 30-31 2014, pp.451-460, 2014, Yambol, Bulgaria. [16]. Karakan Abdil,Uslu Bahtiyar,Şihab Riyad (2016). Computer Aided Laboratory Internal Air Lighting and Network Control. IOSR Journal of Electrical and Electronics Engineering, 11(6), 56-59., Doi: 10.9790 [17]. Karakan Abdil,Şihab Riyad (2016). Using the monocrystalline panel of suncell in different location to get maximum energy. 4. İnternational Symposium on Development of KOP Region, 1(4), 95-100. [18]. P. N. Shukla, A. Khare, , “Performance Analysis of Monocrystalline, Polycrystalline and Thin Film Type PV Module Technologies”International Journal on Emerging Technologies5(2): Pages 66-68, 2014. [19]. P. Jackson, D. Hariskos, E. Lotter, S. Paetel, R. Wuerz, R. Menner, W. Wischmann and M. Powalla, “New World Record Efficiency For Cu(In,Ga)Se2 Thin-Film Solar Cells Beyond 20%”Progress in Photovoltaics,Volume 19, Issue 7Pages 894–897, 2011. [20]. D. Yu, M. Yin, L. Lu, H. Zhang, X. Chen, X. Zhu, J. Che, D. Li, “Silicon Solar Cells: High-Performance and Omnidirectional Thin-Film Amorphous Silicon Solar Cell Modules Achieved by 3D Geometry Design” Advanced Materials,Volume 27, Issue 42, Page 6768, 2015. [21]. A.Karakan, B.Uslu, R. Şihab “Rüzgar Enerji Santrallerinin Çevresel Etkilerinin Değerlendirilmei” Uluslarası V. KOP Bölgesel Kalkınma Sempozyumu, 26-28 Ekim 2017, Konya/TÜRKİYE [22]. A.Karakan, B.Uslu, R. Şihab “A Study on The Investigation of the Application of Fhotovoltaic System on the Exist Structures in the World ” Uluslarası V. KOP Bölgesel Kalkınma Sempozyumu, 26-28 Ekim 2017, Konya/TÜRKİYE [23]. A.Karakan, B.Uslu, R. Şihab “Monocrystalline Photovoltaic Test Set Design” Journal of Multidisciplinary Engineering Science and Technology, Vol. 4 Issue 8, August – 2017 Page:8021-8025 [24]. A.Karakan, B.Uslu, R. Şihab “Photovoltaic Test Set Design” Journal of Multidisciplinary Engineering Science and Technology, Vol. 4 Issue 8, August – 2017 Page:8011-8014 [25]. P. Lin, F. Yan,“ Organic Thin Film Transistor for Chemical and Biological Sensing”Advanced Materials,Volume 24 Issues 1, Pages 34-51, 2012. [26]. Agency, E., (2002).The Future for Renewable Energy 2 Prospects and Pirections.Published by James & James Science Publishers, London, England. [27]. Akgün, A., (2006). Mikrodenetleyici Tabanlı Güneş Enerjisinden Elektrik Enerjisi Üretim Sistemlerinin Tasarlanması. Yüksek Lisans Tezi, Gazi Üniversitesi Fen Bilimleri Enstitüsü, Ankara. [28]. Baker J.,(2008). New technology and possible advences in energy storage. Energy Policy, 36(12), 4368-4373. [29]. Tolga Ozer, Yuksel Oguz, Hasan Cimen, “Data LoggingCard DesignTo Control EnergyFlowInHybridEnergyGenerationSystemWith Using Proteus, ArduinoAndLabview Program”, ICOEST International Conference on EnvironmentalScienceandTechnology, 9-13 Sept 2015, Sarajevo [30]. Tolga Özer, Yüksel Oğuz, Hasan Çimen, “MonocrystallineAnd Black Thin Solar PanelsComparingInTerms Of GeneratedPower At HybridPowerGenerationSystem”, 1st InternationalConference on EngeneeringTechnology and Applied Sciences Afyon KocatepeUniversity, Turkey 21-22 April 2016 [31]. Gordan, J., (2011). Solar Energy the State of the ArtIses Position Papers. Published by James & James Science Publishers, London, England. [32]. Kaltschmitt, M., Streicher, W., Wiese, A., (2007).Renewable Energy Technology, Economics and Environment.Published Springer, Hamburg, Germany. [33]. Hammerschlag, R., Schaber C.P.,(2007). Chapter 15 Energy Storage Technologies, Energy Conversion, Toylor & Francis Group, LLC [34]. Morgan, S., (2003).Alternative Energy Source.Published Heinemann Library, Chicago, America. [35]. Nair, N. K. C., Garimella, N., (2010). Battery energy storage system: Assessment for small-scale renewable energy integration. Energy and Building, 42(11), 2124-2130 [36]. Scrosati, B., Garche J., (2010). FLitium batteries: Status, prospects and future. J Power Sources,195(9), 2419-2430 . [37]. Şahin, H., Dedeoğlu K. S., (2013). MikroC ve PIC18F4550. Altaş Yayınları, İstanbul, Türkiye. [38]. TolgaÖzer,YükselOğuz, HasanÇimen,, “Energy Flow Control with Using Arduino Microcontroller in Off-Grid Hybrid Power Generation System Including Different Solar Panels and Fuel Cell”, November 2017, Measurement and Control -London- Institute of Measurement and Control- 50(9-10):186-198 [39]. Tolga Özer, Yüksel Oğuz, “Monocrystalline,Polycrystallineand Black ThinSolar PanelsComparison in Terms of GeneratedPower at HybridPowerGenerationSystem”, International Journal of InnovativeResearch in ScienceEngineeringandTechnology,Vol. 6, Special Issue 10, May 2017
Assist Prof Riyad ŞİHAB, Prof. Yüksel OĞUZ, Lec. Abdil KARAKAN "Investigation of Monocrystalline Solar Panel Energy Production" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 12, December 2018, pp.75-79 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue12/75-79.pdf
This paper presents the various sensors and their usage with the microcontroller. Few of the sensors that are available in market are wired with microcontroller along with other supporting modules or devices to study their working. Each sensor has a unique way of operation, code (sometimes include library files), connection and area of application. Arduino Uno, a microcontroller board based on ATmega328 is used.
- Page(s): 80-83
- Date of Publication: 04 January 2019
- Prateek MajagaviM.Tech. VLSI Design and ES, Dept of ECE, KLE Dr. M S Sheshgiri College of Engineering and Technology, Belagavi, Karnataka, India
- Prof. S. B. KulkarniHead of Department, Dept of ECE, KLE Dr. M S Sheshgiri College of Engineering and Technology, Belagavi, Karnataka, India
- Prof. Arun TigadiAssistant Professor, Dept of ECE, KLE Dr. M S Sheshgiri College of Engineering and Technology, Belagavi, Karnataka, India
References
[1]. https://www.arduino.cc/en/Guide/Introduction [2]. Keyur K Patel , Sunil M Patel, “ Internet of Things-IOT: Definition, Characteristics, Architecture, Enabling Technologies, Application & Future Challenges”, International Journal of Engineering Science and Computing, May 2016 [3]. Ahmad Adamu Galadima, “Arduino as a learning tool ”, 2014 11th International Conference on Electronics, Computer and Computation (ICECCO) [4]. Yusuf Abdullahi Badamasi, “The Working Principle Of An Arduino”, 2014 11th International Conference on Electronics, Computer and Computation (ICECCO) [5]. Yanping Wang ; Zongtao Chi, “System of Wireless Temperature and Humidity Monitoring Based on Arduino Uno Platform”, 2016 Sixth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC) [6]. Marius Valerian Paulet, Andrei Salceanu, Oana Maria Neacsu, “Ultrasonic Radar”, 2016 International Conference and Exposition on Electrical and Power Engineering (EPE 2016), 20-22 October, Iasi, Romania. [7]. Yong Cao ; Xiao Long Rong ; Si Jie Shao ; Kai Ping He, “Present Situation and Prospects of Vibration Sensors”, 2012 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring.
Prateek Majagavi, Prof. S. B. Kulkarni, Prof. Arun Tigadi "Survey on Arduino and its applications" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 12, December 2018, pp.80-83 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue12/80-83.pdf
Common river sand is expensive due to excessive cost of transportation from natural sources. Also large –scale depletion of these sources creates environmental problems. In such a situation the manufactured sand can be an economical alternative to river sand. Manufactured sand can be defined as residue, tailing or other non-valuable material after the extraction and the processing of rocks to form fine particles less than 4.75 mm. Use of manufactured sand as a fine aggregate in concrete and mortar draws serious attention of researchers and investigators. In this paper the various durability tests are discussed for M20 grade concrete with natural sand and manufactured sand as fine aggregate. The various tests performed are chemical attack, drying shrinkage, water permeability and rapid chloride ion penetration test. From the test results it is observed that the concrete blended with manufactured sand having good durability properties.
- Page(s): 84-87
- Date of Publication: 06 January 2019
- P.M.Shanmugavadivu.M.E., Ph.D., Asst. Professor, Department of Construction Technology and Management, College of Architecture and Civil Engineering, Addis Ababa Science and Technology University, Ethiopia
- R. Malathy.M.E., Ph.D., Dean (R&D), Department of Civil Engineering, Sona College of Technology Salem, Tamil Nadu, India.
- M. Malaiappan Sindhu.M.E., Lecturer, Department of Civil Engineering, College of Architecture and Civil Engineering, Addis Ababa Science and Technology University, Ethiopia
- G. Kavi Mukilan.M.E., Lecturer, Department of Civil Engineering, College of Architecture and Civil Engineering, Addis Ababa Science and Technology University, Ethiopia
References
[1]. Abhay Kumar jain (2003) ‘Study on Addition of Superplasticizer to Increase Concrete’s Resistance to Sulfuric Acid Aggregate Coatings Effect on Concrete Pavement’ [2]. Ilangovan, R. (2000) ‘Studies on Strength and Behaviour of Concrete by Using Quarry Waste as Fine Aggregate’, Proceedings of All India Seminar on Materials and Machines for Construction, New Age International, 991-102. [3]. Ilangovan.R, (2008) ‘Strength and Durability Properties of Concrete Containing Quarry Rock Dust as Fine Aggregate’, ARPN Journal of Engineering and Applied Sciences, Vol.3, No. 5, 20-26. [4]. Kalgal M.R., Pranesh R.N., and Ravishankar S., (2007) ‘Strength and durability of concrete with pond ash as fine aggregate’, The Indian Concrete Journal, Vol No 81, issue no: 3., March 2007. [5]. Permual, K. Sundarajan, R. (2003) ‘Quarry Rock Dust Could be Used as Alternative Replacement of Natural Sand in cOncrete’, Proceedings of National Seminar on Futuristic in Concrete and Construction Engineering, SRM University, Chennai, pp 2.18 - 2.28. [6]. Raman, S.N. Zain, M.F.M Md.Safuddin (2007) ‘Utilization of Quarry Waste Fine Aggregate in Concrete Mixtures’. Journal of Applied Sciences Research, Vol.3, No.3, 202 – 208. [7]. IS 1489 Specification for Portland Pozzolona Cement. [8]. IS 383:1970 Specification for Coarse and Fine Aggregate from Natural Sources of Concrete. [9]. IS 2386 (part 1-8) Methods of Test for Aggregate for Concrete. [10]. IS 10262:1982 Recommended Guidelines for Concrete Mix Design.
P.M.Shanmugavadivu., R. Malathy., M. Malaiappan Sindhu., G. Kavi Mukilan. "Durability Properties of Concrete Using Manufactured Sand as Fine Aggregate" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 12, December 2018, pp.84-87 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue12/84-87.pdf
Solar panels are one of the most renewable energy sources. The limited reserves of fossil fuels lead people to renewable energy sources. Polycrystalline solar panels are the most preferred solar panel types among the solar panels. Even if the energy production is not as efficient as monocrystallion, it is more preferred because of the ease of production method and cheap cost. In this study, it has been calculated how much energy of the polycrystalline solar panel to be established in Antalya / Turkey which will produce with the package program. In order to calculate this, monthly sunshine duration and monthly radiation values of Antalya province were taken from the meterology general directorate. By using these values, the monocrystalline solar panel shows how much energy is produced on a monthly basis.
- Page(s): 88-91
- Date of Publication: 06 January 2019
- Assist Prof Riyad ŞİHABBuilding Departman, Dazkırı Vocation Scholl, Afyon Kocatepe Unıversty, Turkey
- Prof. Yüksel OĞUZElectrical-Electronics Engineering, Faculty of Technology, Afyon Kocatepe Unıversty, Turkey
References
[1]. C. E. C. Nogueira, J. Bedin, R. K. Niedzialkoski, S. N. M. de Souzaand, “Performance Of Monocrystalline And Polycrystalline Solar Panels In A Water Pumping System In Brazil” Renewable and Sustainable Energy Reviews, Vol. 51, issue C, pages 1610-1616, 2015. [2]. A.K. Som, S.M. Al-Alawi, “Evaluation of efficiency and degradation of mono- and polycrystalline PV modules under outdoor conditions”Renewable Energy, Volume 2, Issue 1, Pages 85-91 [3]. P. N. Shukla, A. Khare, , “Performance Analysis of Monocrystalline, Polycrystalline and ThinFilm Type PV Module Technologies”International Journal on Emerging Technologies5(2): Pages 66-68, 2014. [4]. M. R.Abdelkader, A. Al-Salaymeh, Z. Al-Hamamre, and F.Sharaf “A Comparative Analysis Of The Performance Of MonocrystallineandMultiycrystalline PV Cells In Semi Arid Climate Conditions:TheCase Of Jordan”Jordan Journal Of Mechanical And Industrial Engineering,Volume 4 Number 5, Pages 543-552, 2010. [5]. A. Ghazali, A.M. Rahman, “The Performance Of Three Different Solar Panels For Solar Electricity Applying Solar Tracking Device Under The Malaysian Climate Condition”Energy And Environment Research, Volume 2 Number 1, Pages 235-243, 2012. [6]. R.B. Bergmann, C. Berge, T.J. Rinke, J, Schmidt, J.H. Werner,“Advances In Monocrystalline Si Thin Film Solar Cells By Layer Transfer”Solar Energy [7]. Şihab Riyad,Karakan Abdil (2016). The importance of saving energy and isolation in building. İnternational symposium on post-secondary vocational educational and training, [8]. Upadhyaya. A.,Yelundur. V.,Rohatg. A., "High Efficiency Mono-Crystalline Solar CellsWith Simple ManufacturableTechnology" Institute of Technology, 2006. [9]. Muntasser, M.A. , Bara, M.F.,Quadri , H.A., EL Tarabelsi, R. and La-azeb,, I.F., "Photovoltaics marketing İn DevelopingCountries", AppliedEnergy, Volume 65, Pages 67-72, 2000 [10]. Şihab Riyad,Karakan Abdil,Uslu Bahtiyar (2015). The Analysis of Pegormance The Production of Energy by Using Photovoltaic System by Establishing The Panel of Suncell in Different Locations to Get in Maximum Energy. Journal of Multidisciplinary Science and Technology, 2(11), 3313-3317. [11]. Karakan Abdil,Uslu Bahtiyar,Şihab Riyad (2016). Computer Aided Laboratory Internal Air Lighting and Network Control. IOSR Journal of Electrical and Electronics Engineering, 11(6), 56-59., Doi: 10.9790 [12]. Karakan Abdil,Şihab Riyad (2016). Using the monocrystalline panel of suncell in different location to get maximum energy. 4. İnternational Symposium on Development of KOP Region, 1(4), 95-100. [13]. Yavuz Bahadır KOCA, Ahmet YÖNETKEN, Yüksel OĞUZ, Tolga ÖZER, “Control Of The Energy Flow With Plc For Battery SupportedHybridGenerationSystemIn Case Of A SupplyingToLocalArea”, International Congress on Engineeringand Natural Sciences (ICENS 2015), Skopje, Macedonia [14]. Tolga Ozer, YukselOguz, Hasan Cimen, “Data LoggingCard DesignTo Control EnergyFlowInHybridEnergyGenerationSystemWith Using Proteus, ArduinoAndLabview Program”, ICOEST International Conference on EnvironmentalScienceandTechnology, 9-13 Sept 2015, Sarajevo [15]. P. N. Shukla, A. Khare, , “Performance Analysis of Monocrystalline, Polycrystalline and ThinFilm Type PV Module Technologies”International Journal on Emerging Technologies5(2): Pages 66-68, 2014. [16]. P. Jackson, D. Hariskos, E. Lotter, S. Paetel, R. Wuerz, R. Menner, W. Wischmann and M. Powalla, “New World Record Efficiency For Cu(In,Ga)Se2 Thin-Film Solar Cells Beyond 20%”Progress in Photovoltaics,Volume 19, Issue 7Pages 894–897, 2011. [17]. D. Yu, M. Yin, L. Lu, H. Zhang, X. Chen, X. Zhu, J. Che, D. Li, “Silicon Solar Cells: High-Performance and Omnidirectional Thin-Film Amorphous Silicon Solar Cell Modules Achieved by 3D Geometry Design” Advanced Materials,Volume 27, Issue 42, Page 6768, 2015. [18]. A.Karakan, B.Uslu, R. Şihab “Rüzgar Enerji Santrallerinin Çevresel Etkilerinin Değerlendirilmei” Uluslarası V. KOP Bölgesel Kalkınma Sempozyumu, 26-28 Ekim 2017, Konya/TÜRKİYE [19]. A.Karakan, B.Uslu, R. Şihab “A Study on The Investigation of the Application of Fhotovoltaic System on the Exist Structures in the World ” Uluslarası V. KOP Bölgesel Kalkınma Sempozyumu, 26-28 Ekim 2017, Konya/TÜRKİYE [20]. A.Karakan, B.Uslu, R. Şihab “Monocrystalline Photovoltaic Test Set Design” Journal of Multidisciplinary Engineering Science and Technology, Vol. 4 Issue 8, August – 2017 Page:8021-8025 [21]. Tolga Özer, Yüksel Oğuz, Hasan Çimen, “MonocrystallineAnd Black Thin Solar PanelsComparingInTerms Of GeneratedPower At HybridPowerGenerationSystem”, 1st InternationalConference on EngeneeringTechnology and Applied Sciences Afyon KocatepeUniversity, Turkey 21-22 April 2016 [22]. Tolga Özer, Yüksel Oğuz, “MonocrystallineAndPolycrystalline Solar PanelsComparisionInTerms Of GeneratedPower At HybridPowerGenerationSystem”, IV. International Energy Technologies Conference, 15-16 December 2016, İstanbul [23]. A.Karakan, B.Uslu, R. Şihab “Photovoltaic Test Set Design” Journal of Multidisciplinary Engineering Science and Technology, Vol. 4 Issue 8, August – 2017 Page:8011-8014 [24]. P. Lin, F. Yan,“ Organic Thin Film Transistor for Chemical and Biological Sensing”Advanced Materials,Volume 24 Issues 1, Pages 34-51, 2012. [25]. Agency, E., (2002).The Future for Renewable Energy 2 Prospects and Pirections.Published by James & James Science Publishers, London, England. [26]. Tolga Özer, Yüksel Oğuz, “Monocrystalline,Polycrystallineand Black ThinSolar PanelsComparison in Terms of GeneratedPower at HybridPowerGenerationSystem”, International Journal of InnovativeResearch in ScienceEngineeringandTechnology,Vol. 6, Special Issue 10, May 2017 [27]. Tolga Ozer, Yuksel Oguz, Hasan Cimen, “Data LoggingCard DesignTo Control EnergyFlowInHybridEnergyGenerationSystemWith Using Proteus, ArduinoAndLabview Program”, ICOEST International Conference on EnvironmentalScienceandTechnology, 9-13 Sept 2015, Sarajevo [28]. Akgün, A., (2006). Mikrodenetleyici Tabanlı Güneş Enerjisinden Elektrik Enerjisi Üretim Sistemlerinin Tasarlanması. Yüksek Lisans Tezi, Gazi Üniversitesi Fen Bilimleri Enstitüsü, Ankara. [29]. Baker J.,(2008). New technology and possible advences in energy storage. Energy Policy, 36(12), 4368-4373. [30]. Gordan, J., (2011). Solar Energy the State of the ArtIses Position Papers. Published by James & James Science Publishers, London, England. [31]. Kaltschmitt, M., Streicher, W., Wiese, A., (2007).Renewable Energy Technology, Economics and Environment.Published Springer, Hamburg, Germany. [32]. TolgaÖzer,YükselOğuz, HasanÇimen,, “Energy Flow Control with Using Arduino Microcontroller in Off-Grid Hybrid Power Generation System Including Different Solar Panels and Fuel Cell”, November 2017, Measurement and Control -London- Institute of Measurement and Control- 50(9-10):186-198 [33]. Hammerschlag, R., Schaber C.P.,(2007). Chapter 15 Energy Storage Technologies, Energy Conversion, Toylor & Francis Group, LLC [34]. Morgan, S., (2003).Alternative Energy Source.Published Heinemann Library, Chicago, America. [35]. Nair, N. K. C., Garimella, N., (2010). Battery energy storage system: Assessment for small-scale renewable energy integration. Energy and Building, 42(11), 2124-2130 [36]. Scrosati, B., Garche J., (2010). FLitium batteries: Status, prospects and future. J Power Sources,195(9), 2419-2430 . [37]. Şahin, H., Dedeoğlu K. S., (2013). MikroC ve PIC18F4550. Altaş Yayınları, İstanbul, Türkiye. [38]. Tolga Özer, Yüksel Oğuz, “MonocrystallineAndPolycrystalline Solar PanelsComparisionInTerms Of GeneratedPower At HybridPowerGenerationSystem”, IV. International Energy Technologies Conference, 15-16 December 2016, İstanbul [39]. Ozer T.,Gul T.,Oguz Y.,”HydrogenFlow Control By Using FuzzyLogic Controller MethodForFuel Cell PowerSystems”,International Conference on Technics, Technologies andEducationICTTE 2014 October 30-31 2014, pp.451-460, 2014, Yambol, Bulgaria.
Assist Prof Riyad ŞİHAB, Prof. Yüksel OĞUZ "A Study on the Energy Efficiency of Polycrystalline Solar Panels" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 12, December 2018, pp.88-91 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue12/88-91.pdf
Absenteeism has been an issue for these small and medium sectors of businesses everywhere in India. Studies have found out various reasons for absenteeism and also have proposed solutions to the same. One reason for absenteeism at work could be due to the work environment and lack of benefits provided to employees at the work place. This paper focuses on the conducive work environment and the number of benefits that employees get during their work schedule and whether it helps firms in controlling absenteeism.
- Page(s): 92-95
- Date of Publication: 06 January 2019
- Prof. Vaibhav P VeeragoudarAsst Prof, Department of MBA, KLE Dr. MS Sheshgiri College of Engineering and Technology, Belgaum, Karnataka, India.
- Pranith B. BadamiDepartment of MBA, KLE Dr. MS Sheshgiri College of Engineering and Technology, Belgaum, Karnataka, India.
References
[1]. Nordberg, M., & Røed, K. (2003). Absenteeism, health insurance, and business cycles. HERO WP, 17. [2]. Fisher, K., & Layte, R. (2004). Measuring work-life balance using time diary data. Electronic International Journal of Time Use Research, 1(1), 1-13. [3]. Ali, A. Y. S., Ali, A. A., & Adan, A. A. (2013). Working conditions and employees’ productivity in manufacturing companies in sub-Saharan African context: Case of Somalia. Educational Research International, 2(2), 67-78. [4]. McNall, L. A., Masuda, A. D., & Nicklin, J. M. (2009). Flexible work arrangements, job satisfaction, and turnover intentions: The mediating role of work-to-family enrichment. The Journal of psychology, 144(1), 61-81. [5]. Berg, P., Kalleberg, A. L., & Appelbaum, E. (2003). Balancing work and family: The role of high‐commitment environments. Industrial Relations: A Journal of Economy and Society, 42(2), 168-188. [6]. Hong, J. C., Yang, S. D., Wang, L. J., Chiou, E. F., Su, F. Y., & Huang, S. L. (1995). Impact of employee benefits on work motivation and productivity. International Journal of Career Management, 7(6), 10-14. [7]. Dulebohn, J. H., Molloy, J. C., Pichler, S. M., & Murray, B. (2009). Employee benefits: Literature review and emerging issues. Human Resource Management Review, 19(2), 86-103. [8]. Muse, L. A., & Wadsworth, L. L. (2012). An examination of traditional versus non-traditional benefits. Journal of Managerial Psychology, 27(2), 112-131.
Prof. Vaibhav P Veeragoudar, Pranith B. Badami "A Study on Positive Work Environment and Employee Benefits Provided and its Impact on Control of Absenteeism at Small and Medium Manufacturing Units, Belagavi" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 12, December 2018, pp.92-95 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue12/92-95.pdf
Rainfall erosivity is the ability of rainfall to cause soil erosion through detachment and transportation of soil particles. This study was conducted to evaluate the relationship between rainfall amount and erosivity (R) factor in Bauchi, Nigeria. Three rainfall erosivity estimation models were evaluated using seventeen (2000 to 2016) years rainfall data. Monthly rainfall amount were collected from the Nigerian Metrological Agency (NIMET). The three erosivity models evaluated were Modified Fournier Index (MFI), Lambordi and Grimm Models. The rainfall erosivities estimated from the three models demonstrated similar trend with the time series of the mean annual rainfall amount. The results obtained showed that higher rainfall amount for a particular year implied higher rainfall erosivities. Regression analyses performed showed that there is a strong and positive relationship between annual rainfall amount and rainfall erosivity calculated using the three models. Coefficient of determination (R2) obtained for MFI, Lambordi and Grimm Models were respectively, 0.73, 0.95 and 1.00. The study revealed that a reliable estimate of rainfall erosivity can be obtained using the three models.
- Page(s): 96-99
- Date of Publication: 06 January 2019
- Sunusi Abubakar AminDepartment of Agricultural and Bioresource Engineering, Abubakar Tafawa Balewa University, Bauchi State Nigeria
- Abdulaziz Baba BelloDepartment of Agricultural and Environmental Engineering, Bayero University Kano, Kano State Nigeria.
- Nura Jafar ShanonoDepartment of Agricultural and Environmental Engineering, Bayero University Kano, Kano State Nigeria.
- Zamdai Thlama JidaiDepartment of Agricultural and Bioresource Engineering, Abubakar Tafawa Balewa University, Bauchi State Nigeria
References
[1]. Yusof, K.W. and Ahmad, M.H. (2016). Evaluation of Rainfall-Runoff Erosivity Factor for Cameron Highlands, Pahang , Malaysia. 17, 1–8. https://doi.org/10.12911/22998993/63338 [2]. Horvath, C.S., Olga, K. and Roșian, G. (2016). Assessing Rainfall Erosivity from Monthly Precipitation Data. Aerapa Conference, Babeş-Bolyai University, Cluj-Napoca, Romania. p. 109 – 116. [3]. Isaac, R.K. (2016). Development of Rainfall Erosivity Models for Allahabad (India).. 1, 52–9. [4]. Lee, J.H. and Heo, J.H. (2011). Evaluation of estimation methods for rainfall erosivity based on annual precipitation in Korea. Journal of Hydrology, 409, 30–48. https://doi.org/10.1016/j.jhydrol.2011.07.031 [5]. Wischmeier, W.H. and Smith, D.D. (1958). Rainfall energy and its relationship to soil loss. Eos, Transactions American Geophysical Union, Wiley Online Library. 39, 285–91. [6]. Lee, M. and Lin, H. (2015). Evaluation of Annual Rainfall Erosivity Index Based on Daily, Monthly, and Annual Precipitation Data of Rainfall Station Network in Southern Taiwan. International Journal of Distributed Sensor Networks, 1–15. https://doi.org/10.1155/2015/214708 [7]. Yu, B., Hashim, M. and Eusof, Z. (2001). Estimating the r-factor with limited rainfall data: a case study from peninsular Malaysia. Journal of Soil and Water Conservation, 562222, 101–5. [8]. Panagos, P., Ballabio, C., Borrelli, P., Meusburger, K., Klik, A., Rousseva, S. et al. (2015). Science of the Total Environment Rainfall erosivity in Europe. 511, 801–14. [9]. Hernando, D. and Romana, M.G. (2014). Estimating the rainfall erosivity factor from monthly precipitation data in the Madrid Region (Spain). Journal of Hydrology and Hydromechanics, 63, 55–62. https://doi.org/10.1515/johh-2015-0003 [10]. Angulo-Martínez, M., López-Vicente, M., Vicente-Serrano, S.M. and Beguería, S. (2009). Mapping rainfall erosivity at a regional scale: a comparison of interpolation methods in the Ebro Basin (NE Spain). Hydrology and Earth System Sciences, 13, 1907–20. https://doi.org/10.5194/hess-13-1907-2009 [11]. Bonilla, C.A. and Vidal, K.L. (2011). Rainfall erosivity in Central Chile. Journal of Hydrology, Elsevier B.V. 410, 126–33. https://doi.org/10.1016/j.jhydrol.2011.09.022 [12]. Diodato, N. and Bellocchi, G. (2007). Estimating monthly ( R ) USLE climate input in a Mediterranean region using limited data. Journal of Hydrology, 345, 224–236. https://doi.org/10.1016/j.jhydrol.2007.08.008 [13]. Singh, K.N. and Isaac, R.K. (2016). Development of Single Rain Strom Erosivity Models for Chitrakoot Region. 4, 17–20. https://doi.org/10.18510/ijsrtm.2016.415 [14]. Nigeriagalleria. (2017). Bauchi State Nigeria. Retrieved from http://www.nigeriagalleria.com/Nigeria/States_Nigeria/Bauchi/Bauchi State.html [15]. Arnoldus, H.M.J. (1980). An approximation of the rainfall factor in the Universal Soil Loss Equation. In: De Boodt M, and Gabriels D, editors. Assessment of Erosion, John Wiley & Sons, Chichister. p. 127–132. [16]. Babariya, V., Jadav, C., Lakkad, A.P. and Ojha, S. (2017). Evaluation of Rainfall Erosivity Indices Models based on Daily, Monthly and Annual Rainfall for Dediapada Region of Gujarat. AGRES – An International E-Journal, 6, 134–41. [17]. Colotti, E. (2004). Aplicabilidad de los datos de lluvia horaria en el cálculo de la erosidad. [Applicability of hourly rainfall data to erosion analysis]. Fondo Editor. Humanidades y Educ. Venezuela, Caracas. [18]. Isikwue, M.O., Ocheme, J.E. and Aho, M.I. (2015). Evaluation of Rainfall Erosivity Index for Abuja, Abuja, Nigeria using Lombardi Method. Nigerian Journal of Technology (NIJOTECH), 34, 56–63. [19]. Grimm, M., Jones, R.J.A., Rusco, E. and Montanarella, L. (2003). Soil erosion risk in Italy: a revised USLE approach. European Soil Bureau Research Report, Citeseer. 11, 23. [20]. Yu, B. (1998). Rainfall erosivity and its estimation for Australia’s tropics. Soil Research, CSIRO. 36, 143–66. [21]. Petkovšek, G. and Mikoš, M. (2004). Estimating the R factor from daily rainfall data in the sub-Mediterranean climate of southwest Slovenia. Hydrological Sciences Journal, Taylor & Francis. 49.
Sunusi Abubakar Amin, Abdulaziz Baba Bello, Nura Jafar Shanono and Zamdai Thlama Jidai "Evaluation of Rainfall Erosivity Models using Mean Annual Rainfall of Urban Bauchi, Nigeria" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 12, December 2018, pp.96-99 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue12/96-99.pdf